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6 Reasons Why Python Is Best for Apps Using AI, ML and Data Analytics

3 years ago stackify.com
6 Reasons Why Python Is Best for Apps Using AI, ML and Data Analytics

Summary: This is a summary of an article originally published by Stackify. Read the full original article here →

There are a variety of technology stacks for Artificial intelligence (AI), Machine learning (ML) and data analytics applications. With outstanding libraries, tools and frameworks for AI, ML and data analytics, Python has proven success leveraging all three technologies. Python caters to complex AI and ML modules, making it ideal for ML and AI-driven applications.

The list of AI, ML and data analytics libraries available for Python is extensive.

With the processing power and scalability to deal with massive amounts of data requests, Python is a highly effective language for AI, ML and data analytics applications, while still being highly flexible and easy to learn.

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